Self-Deployment of Mobile Agents in Manets for Military Applications
作者： Elkin Urrea , Michael Conner , Christian Pizzo , Ibrahim Hokelek , Cem S Sahin
DOI:
关键词: Software agent 、 Chromosome (genetic algorithm) 、 Node (networking) 、 Simulation software 、 Mobile agent 、 Distributed computing 、 Genetic algorithm 、 Engineering 、 Software deployment 、 Application layer
摘要: Abstract : We present bio-inspired computation techniques, such as genetic algorithms, for real-time self-deployment of mobile agents to carry out tasks similar military applications. Under the harsh and bandwidth limited conditions imposed by applications, self-spreading autonomous nodes becomes much more challenging. In our approach, each agent exchanges its information, which is composed speed direction encoded in chromosome (genome), with neighboring located communication range. A algorithm run at application layer a software used node decide next among large number choices so that unknown geographical area can be covered uniformly under hostile attacks, natural (i.e., mountain, trees, lakes etc.) man-made obstacles. implemented simulation quantify effectiveness algorithms different operational (e.g., losing assets during an operation, remaining should reposition themselves compensate lost coverage network connectivity). Metrics including normalized coverage, deployment time, avoidance from obstacles over are demonstrate efficiency algorithm. The results show applied performed effective tool providing robust solution restrained conditions.
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